Instructions to use Snapmap/diffcheckstuffiused with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Snapmap/diffcheckstuffiused with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Snapmap/diffcheckstuffiused", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download RMBG/RMBG-2.0/config.json from Snapmap/diffcheckstuffiused: direct link, hf CLI and curl.
- Browser
- Download file 405 Bytes
-
https://huggingface.co/Snapmap/diffcheckstuffiused/resolve/main/RMBG/RMBG-2.0/config.json
- Command line
-
hf download hf://Snapmap/diffcheckstuffiused/RMBG/RMBG-2.0/config.json
-
curl -L -o config.json https://huggingface.co/Snapmap/diffcheckstuffiused/resolve/main/RMBG/RMBG-2.0/config.json
405 Bytes
| { | |
| "_name_or_path": "ZhengPeng7/BiRefNet", | |
| "architectures": [ | |
| "BiRefNet" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "BiRefNet_config.BiRefNetConfig", | |
| "AutoModelForImageSegmentation": "birefnet.BiRefNet" | |
| }, | |
| "custom_pipelines": { | |
| "image-segmentation": { | |
| "pt": [ | |
| "AutoModelForImageSegmentation" | |
| ], | |
| "tf": [], | |
| "type": "image" | |
| } | |
| }, | |
| "bb_pretrained": false | |
| } |